Heart rate variability (HRV) as a way to understand associations between the autonomic nervous system (ANS) and affective states: A critical review of the literature
Evidence suggests affective disorders such as depression and bipolar disorder are characterised by dysregulated autonomic nervous system (ANS) activity. These findings suggest ANS dysregulation may be involved in the pathogenesis of affective disorders. Different affective states are characterised b...
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Published in | International journal of psychophysiology Vol. 192; pp. 35 - 42 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Netherlands
01.10.2023
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Subjects | |
Online Access | Get full text |
ISSN | 0167-8760 1872-7697 1872-7697 |
DOI | 10.1016/j.ijpsycho.2023.08.001 |
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Abstract | Evidence suggests affective disorders such as depression and bipolar disorder are characterised by dysregulated autonomic nervous system (ANS) activity. These findings suggest ANS dysregulation may be involved in the pathogenesis of affective disorders. Different affective states are characterised by different ANS activity patterns (i.e., an increase or decrease in sympathetic or parasympathetic activity). To understand how ANS abnormalities are involved in the development of affective disorders, it is important to understand how affective states correlate with ANS activity before their onset. Using heart rate variability (HRV) as a tool to measure ANS activity, this review aimed to look at associations between affective states and HRV in non-clinical populations (i.e., in those without medical and psychiatric disorders). Searches on PubMed and Google Scholar were completed using the following search terms: heart rate variability, autonomic nervous system, sympathetic nervous system, parasympathetic nervous system, affective state, mood and emotion in all possible combinations. All but one of the studies examined (N = 13), demonstrated significant associations between affect and HRV. Findings suggest negative affect, encompassing both diffused longer-term experiences (i.e., mood) as well as more focused short-term experiences (i.e., emotions), may be associated with a reduction in parasympathetic activity as measured through HRV parameters known to quantify parasympathetic activity (e.g., high frequency (HF)-HRV). HRV measures typically linked to reduction in parasympathetic activity appear to be linked to negative affective states in non-clinical populations. However, given the complex and possibly non-linear relationship between HRV and parasympathetic activity, further studies need to clarify specificity of these findings. Future studies should investigate the potential utility of HRV measures as biomarkers for monitoring changes in affective states and for early detection of onset and relapse of depression in patients with affective disorders. |
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AbstractList | Evidence suggests affective disorders such as depression and bipolar disorder are characterised by dysregulated autonomic nervous system (ANS) activity. These findings suggest ANS dysregulation may be involved in the pathogenesis of affective disorders. Different affective states are characterised by different ANS activity patterns (i.e., an increase or decrease in sympathetic or parasympathetic activity). To understand how ANS abnormalities are involved in the development of affective disorders, it is important to understand how affective states correlate with ANS activity before their onset. Using heart rate variability (HRV) as a tool to measure ANS activity, this review aimed to look at associations between affective states and HRV in non-clinical populations (i.e., in those without medical and psychiatric disorders). Searches on PubMed and Google Scholar were completed using the following search terms: heart rate variability, autonomic nervous system, sympathetic nervous system, parasympathetic nervous system, affective state, mood and emotion in all possible combinations. All but one of the studies examined (N = 13), demonstrated significant associations between affect and HRV. Findings suggest negative affect, encompassing both diffused longer-term experiences (i.e., mood) as well as more focused short-term experiences (i.e., emotions), may be associated with a reduction in parasympathetic activity as measured through HRV parameters known to quantify parasympathetic activity (e.g., high frequency (HF)-HRV). HRV measures typically linked to reduction in parasympathetic activity appear to be linked to negative affective states in non-clinical populations. However, given the complex and possibly non-linear relationship between HRV and parasympathetic activity, further studies need to clarify specificity of these findings. Future studies should investigate the potential utility of HRV measures as biomarkers for monitoring changes in affective states and for early detection of onset and relapse of depression in patients with affective disorders.Evidence suggests affective disorders such as depression and bipolar disorder are characterised by dysregulated autonomic nervous system (ANS) activity. These findings suggest ANS dysregulation may be involved in the pathogenesis of affective disorders. Different affective states are characterised by different ANS activity patterns (i.e., an increase or decrease in sympathetic or parasympathetic activity). To understand how ANS abnormalities are involved in the development of affective disorders, it is important to understand how affective states correlate with ANS activity before their onset. Using heart rate variability (HRV) as a tool to measure ANS activity, this review aimed to look at associations between affective states and HRV in non-clinical populations (i.e., in those without medical and psychiatric disorders). Searches on PubMed and Google Scholar were completed using the following search terms: heart rate variability, autonomic nervous system, sympathetic nervous system, parasympathetic nervous system, affective state, mood and emotion in all possible combinations. All but one of the studies examined (N = 13), demonstrated significant associations between affect and HRV. Findings suggest negative affect, encompassing both diffused longer-term experiences (i.e., mood) as well as more focused short-term experiences (i.e., emotions), may be associated with a reduction in parasympathetic activity as measured through HRV parameters known to quantify parasympathetic activity (e.g., high frequency (HF)-HRV). HRV measures typically linked to reduction in parasympathetic activity appear to be linked to negative affective states in non-clinical populations. However, given the complex and possibly non-linear relationship between HRV and parasympathetic activity, further studies need to clarify specificity of these findings. Future studies should investigate the potential utility of HRV measures as biomarkers for monitoring changes in affective states and for early detection of onset and relapse of depression in patients with affective disorders. Evidence suggests affective disorders such as depression and bipolar disorder are characterised by dysregulated autonomic nervous system (ANS) activity. These findings suggest ANS dysregulation may be involved in the pathogenesis of affective disorders. Different affective states are characterised by different ANS activity patterns (i.e., an increase or decrease in sympathetic or parasympathetic activity). To understand how ANS abnormalities are involved in the development of affective disorders, it is important to understand how affective states correlate with ANS activity before their onset. Using heart rate variability (HRV) as a tool to measure ANS activity, this review aimed to look at associations between affective states and HRV in non-clinical populations (i.e., in those without medical and psychiatric disorders). Searches on PubMed and Google Scholar were completed using the following search terms: heart rate variability, autonomic nervous system, sympathetic nervous system, parasympathetic nervous system, affective state, mood and emotion in all possible combinations. All but one of the studies examined (N = 13), demonstrated significant associations between affect and HRV. Findings suggest negative affect, encompassing both diffused longer-term experiences (i.e., mood) as well as more focused short-term experiences (i.e., emotions), may be associated with a reduction in parasympathetic activity as measured through HRV parameters known to quantify parasympathetic activity (e.g., high frequency (HF)-HRV). HRV measures typically linked to reduction in parasympathetic activity appear to be linked to negative affective states in non-clinical populations. However, given the complex and possibly non-linear relationship between HRV and parasympathetic activity, further studies need to clarify specificity of these findings. Future studies should investigate the potential utility of HRV measures as biomarkers for monitoring changes in affective states and for early detection of onset and relapse of depression in patients with affective disorders. |
Author | Mondelli, Valeria Walsh, Annabel Gullett, Nancy Harper, Ross Zajkowska, Zuzanna |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37543289$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1016/j.biopsycho.2013.08.005 10.1093/oxfordjournals.eurheartj.a014868 10.1016/j.autneu.2021.102870 10.3389/fpsyg.2014.01040 10.1007/s40846-017-0238-0 10.1097/01.psy.0000162254.61556.d5 10.3126/nmj.v1i2.21601 10.1038/nri.2015.5 10.1016/j.jad.2016.02.040 10.1016/j.neuroimage.2019.116072 10.1016/j.ijpsycho.2015.08.004 10.1016/j.neubiorev.2015.06.019 10.1371/journal.pone.0081536 10.1067/mhj.2000.109981 10.1016/j.pnpbp.2017.02.014 10.3389/fphys.2013.00026 10.1186/s40101-019-0193-2 10.1177/0004867415622689 10.1016/j.neubiorev.2016.12.007 10.1016/j.bbi.2019.03.009 10.1037/1528-3542.6.3.383 10.1007/s00127-014-0887-z 10.1016/j.bbi.2014.12.017 10.1161/01.CIR.90.4.1826 10.1126/science.6166045 10.1016/j.jad.2018.04.071 10.1111/psyp.12027 10.1016/j.biopsych.2009.12.012 10.1098/rsta.2020.0255 10.1177/0146167298241006 10.1159/000495519 10.1016/j.cpr.2016.09.003 10.1016/j.autneu.2010.03.019 10.1097/PSY.0b013e31816baefa 10.1016/j.biopsycho.2016.12.001 10.1017/S0033291719001351 10.1037/0022-3514.54.6.1063 10.3389/fnins.2019.01131 10.3758/s13428-016-0842-x 10.1016/j.cpr.2016.04.013 10.1016/j.jad.2019.10.017 10.1249/mss.0b013e31802f590c 10.1097/PSY.0000000000000306 10.1503/jpn.140217 10.1016/j.jad.2015.06.057 10.3389/fpubh.2017.00258 10.2174/1570159X14666151208113006 10.1016/j.biopsycho.2010.12.003 10.1152/japplphysiol.00842.2017 10.1016/j.ijpsycho.2018.08.005 |
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Keywords | Affect states Affective disorders Autonomic nervous system Heart rate variability |
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References | Grimonprez (10.1016/j.ijpsycho.2023.08.001_bb0090) 2015; 56 Rimoldi (10.1016/j.ijpsycho.2023.08.001_bb0220) 1990; 258 Thomas (10.1016/j.ijpsycho.2023.08.001_bb0250) 2019; 78 Billman (10.1016/j.ijpsycho.2023.08.001_bb0030) 2013; 4 Dimitriev (10.1016/j.ijpsycho.2023.08.001_bb0070) 2022 Sin (10.1016/j.ijpsycho.2023.08.001_bb0245) 2016; 78 Brown (10.1016/j.ijpsycho.2023.08.001_bb0050) 2018; 235 Weinstein (10.1016/j.ijpsycho.2023.08.001_bb0270) 2007; 39 Saul (10.1016/j.ijpsycho.2023.08.001_bb0225) 2021; 379 Koenig (10.1016/j.ijpsycho.2023.08.001_bb0135) 2016; 46 Deo (10.1016/j.ijpsycho.2023.08.001_bb0065) 2018; 1 Wu (10.1016/j.ijpsycho.2023.08.001_bb0285) 2019; 13 Bassett (10.1016/j.ijpsycho.2023.08.001_bb0015) 2016; 50 Zunszain (10.1016/j.ijpsycho.2023.08.001_bb0300) 2012 Owens (10.1016/j.ijpsycho.2023.08.001_bb0185) 2020; 1202 Shaffer (10.1016/j.ijpsycho.2023.08.001_bb0230) 2017; 5 Cooper (10.1016/j.ijpsycho.2023.08.001_bb0060) 2015; 49 Kemp (10.1016/j.ijpsycho.2023.08.001_bb0115) 2010; 67 Beauchaine (10.1016/j.ijpsycho.2023.08.001_bb0025) 2015; 98 Rhodewalt (10.1016/j.ijpsycho.2023.08.001_bb0215) 1998; 24 Baumeister (10.1016/j.ijpsycho.2023.08.001_bb0020) 2014; 49 Peeters (10.1016/j.ijpsycho.2023.08.001_bb0190) 2006; 6 Faurholt-Jepsen (10.1016/j.ijpsycho.2023.08.001_bb0075) 2017; 73 Valenza (10.1016/j.ijpsycho.2023.08.001_bb0255) 2018; 125 Michels (10.1016/j.ijpsycho.2023.08.001_bb0165) 2013; 94 Won (10.1016/j.ijpsycho.2023.08.001_bb0280) 2016; 14 Shaffer (10.1016/j.ijpsycho.2023.08.001_bb0235) 2014; 5 Köbele (10.1016/j.ijpsycho.2023.08.001_bb0125) 2010 Xu (10.1016/j.ijpsycho.2023.08.001_bb0290) 2010; 24 Koch (10.1016/j.ijpsycho.2023.08.001_bb0130) 2019; 49 Lang (10.1016/j.ijpsycho.2023.08.001_bb0155) 1980 Watson (10.1016/j.ijpsycho.2023.08.001_bb0265) 1988; 54 Vazquez (10.1016/j.ijpsycho.2023.08.001_bb0260) 2016; 196 Jones (10.1016/j.ijpsycho.2023.08.001_bb0110) 2007 Blood (10.1016/j.ijpsycho.2023.08.001_bb0040) 2015; 186 Bleil (10.1016/j.ijpsycho.2023.08.001_bb0035) 2008; 70 Gilman (10.1016/j.ijpsycho.2023.08.001_bb0080) 2017; 49 Akselrod (10.1016/j.ijpsycho.2023.08.001_bb0005) 1981; 213 Bolea (10.1016/j.ijpsycho.2023.08.001_bb0045) 2014 Young (10.1016/j.ijpsycho.2023.08.001_bb0295) 2017; 123 Alvares (10.1016/j.ijpsycho.2023.08.001_bb0010) 2016; 41 Carney (10.1016/j.ijpsycho.2023.08.001_bb0055) 2005; 67 Lamotte (10.1016/j.ijpsycho.2023.08.001_bb0150) 2021; 235 Reyes del Paso (10.1016/j.ijpsycho.2023.08.001_bb0210) 2013; 50 Hamilton (10.1016/j.ijpsycho.2023.08.001_bb0095) 2016; 50 Hayano (10.1016/j.ijpsycho.2023.08.001_bb0105) 2019; 38 Shi (10.1016/j.ijpsycho.2023.08.001_bb0240) 2017; 37 Rahman (10.1016/j.ijpsycho.2023.08.001_bb0205) 2018; 133 Kim (10.1016/j.ijpsycho.2023.08.001_bb0120) 2017; 76 Harper (10.1016/j.ijpsycho.2023.08.001_bb0100) 2020; 13 Perna (10.1016/j.ijpsycho.2023.08.001_bb0195) 2020; 263 Miller (10.1016/j.ijpsycho.2023.08.001_bb0170) 2016; 16 Pichon (10.1016/j.ijpsycho.2023.08.001_bb0200) 2010; 156 Williams (10.1016/j.ijpsycho.2023.08.001_bb0275) 2019; 80 Malik (10.1016/j.ijpsycho.2023.08.001_bb0160) 1996; 17 Montano (10.1016/j.ijpsycho.2023.08.001_bb0175) 1994; 90 Gorman (10.1016/j.ijpsycho.2023.08.001_bb0085) 2000; 140 Koval (10.1016/j.ijpsycho.2023.08.001_bb0145) 2013; 8 Mulcahy (10.1016/j.ijpsycho.2023.08.001_bb0180) 2019; 202 Kop (10.1016/j.ijpsycho.2023.08.001_bb0140) 2011; 86 |
References_xml | – volume: 94 start-page: 433 issue: 2 year: 2013 ident: 10.1016/j.ijpsycho.2023.08.001_bb0165 article-title: Children’s heart rate variability as stress indicator: association with reported stress and cortisol publication-title: Biol. Psychol. doi: 10.1016/j.biopsycho.2013.08.005 – volume: 17 start-page: 354 issue: 3 year: 1996 ident: 10.1016/j.ijpsycho.2023.08.001_bb0160 article-title: Heart rate variability: standards of measurement, physiological interpretation, and clinical use publication-title: Eur. Heart J. doi: 10.1093/oxfordjournals.eurheartj.a014868 – volume: 235 year: 2021 ident: 10.1016/j.ijpsycho.2023.08.001_bb0150 article-title: Stress and central autonomic network publication-title: Auton. Neurosci. doi: 10.1016/j.autneu.2021.102870 – volume: 5 start-page: 1040 year: 2014 ident: 10.1016/j.ijpsycho.2023.08.001_bb0235 article-title: A healthy heart is not a metronome: an integrative review of the heart’s anatomy and heart rate variability publication-title: Front. Psychol. doi: 10.3389/fpsyg.2014.01040 – volume: 37 start-page: 527 issue: 4 year: 2017 ident: 10.1016/j.ijpsycho.2023.08.001_bb0240 article-title: Differences of heart rate variability between happiness and sadness emotion states: a pilot study publication-title: J. Med. Biol. Eng. doi: 10.1007/s40846-017-0238-0 – volume: 67 start-page: S29 year: 2005 ident: 10.1016/j.ijpsycho.2023.08.001_bb0055 article-title: Depression, the autonomic nervous system, and coronary heart disease publication-title: Psychosom. Med. doi: 10.1097/01.psy.0000162254.61556.d5 – volume: 1 start-page: 100 year: 2018 ident: 10.1016/j.ijpsycho.2023.08.001_bb0065 article-title: Heart rate variability as a marker of changes in mood state in daily life by photoplethysmography technique publication-title: Nepal. Med. J. doi: 10.3126/nmj.v1i2.21601 – volume: 16 start-page: 22 issue: 1 year: 2016 ident: 10.1016/j.ijpsycho.2023.08.001_bb0170 article-title: The role of inflammation in depression: from evolutionary imperative to modern treatment target publication-title: Nat. Rev. Immunol. doi: 10.1038/nri.2015.5 – volume: 196 start-page: 243 year: 2016 ident: 10.1016/j.ijpsycho.2023.08.001_bb0260 article-title: High frequency heart-rate variability predicts adolescent depressive symptoms, particularly anhedonia, across one year publication-title: J. Affect. Disord. doi: 10.1016/j.jad.2016.02.040 – volume: 202 year: 2019 ident: 10.1016/j.ijpsycho.2023.08.001_bb0180 article-title: Heart rate variability as a biomarker in health and affective disorders: a perspective on neuroimaging studies publication-title: Neuroimage doi: 10.1016/j.neuroimage.2019.116072 – volume: 98 start-page: 338 issue: 2 year: 2015 ident: 10.1016/j.ijpsycho.2023.08.001_bb0025 article-title: Heart rate variability as a transdiagnostic biomarker of psychopathology publication-title: Int. J. Psychophysiol. doi: 10.1016/j.ijpsycho.2015.08.004 – volume: 56 start-page: 26 year: 2015 ident: 10.1016/j.ijpsycho.2023.08.001_bb0090 article-title: The antidepressant mechanism of action of vagus nerve stimulation: evidence from preclinical studies publication-title: Neurosci. Biobehav. Rev. doi: 10.1016/j.neubiorev.2015.06.019 – volume: 8 issue: 11 year: 2013 ident: 10.1016/j.ijpsycho.2023.08.001_bb0145 article-title: Affective instability in daily life is predicted by resting heart rate variability publication-title: PLoS One doi: 10.1371/journal.pone.0081536 – volume: 140 start-page: S77 issue: 4 year: 2000 ident: 10.1016/j.ijpsycho.2023.08.001_bb0085 article-title: Heart rate variability in depressive and anxiety disorders publication-title: Am. Heart J. doi: 10.1067/mhj.2000.109981 – volume: 76 start-page: 65 year: 2017 ident: 10.1016/j.ijpsycho.2023.08.001_bb0120 article-title: Diagnosis of major depressive disorder by combining multimodal information from heart rate dynamics and serum proteomics using machine-learning algorithm publication-title: Prog. Neuro-Psychopharmacol. Biol. Psychiatry doi: 10.1016/j.pnpbp.2017.02.014 – volume: 24 start-page: 551 issue: 7 year: 2010 ident: 10.1016/j.ijpsycho.2023.08.001_bb0290 article-title: Establishment and assessment of native Chinese affective video system publication-title: Chin. Ment. Health J. – volume: 4 start-page: 26 year: 2013 ident: 10.1016/j.ijpsycho.2023.08.001_bb0030 article-title: The LF/HF ratio does not accurately measure cardiac sympatho-vagal balance publication-title: Front. Physiol. doi: 10.3389/fphys.2013.00026 – volume: 38 start-page: 1 issue: 1 year: 2019 ident: 10.1016/j.ijpsycho.2023.08.001_bb0105 article-title: Pitfalls of assessment of autonomic function by heart rate variability publication-title: J. Physiol. Anthropol. doi: 10.1186/s40101-019-0193-2 – volume: 50 start-page: 511 issue: 6 year: 2016 ident: 10.1016/j.ijpsycho.2023.08.001_bb0015 article-title: A literature review of heart rate variability in depressive and bipolar disorders publication-title: Aust. N. Z. J. Psychiatry doi: 10.1177/0004867415622689 – volume: 73 start-page: 68 year: 2017 ident: 10.1016/j.ijpsycho.2023.08.001_bb0075 article-title: Heart rate variability in bipolar disorder: a systematic review and meta-analysis publication-title: Neurosci. Biobehav. Rev. doi: 10.1016/j.neubiorev.2016.12.007 – volume: 80 start-page: 219 year: 2019 ident: 10.1016/j.ijpsycho.2023.08.001_bb0275 article-title: Heart rate variability and inflammation: a meta-analysis of human studies publication-title: Brain Behav. Immun. doi: 10.1016/j.bbi.2019.03.009 – volume: 6 start-page: 383 issue: 3 year: 2006 ident: 10.1016/j.ijpsycho.2023.08.001_bb0190 article-title: Diurnal mood variation in major depressive disorder publication-title: Emotion doi: 10.1037/1528-3542.6.3.383 – volume: 49 start-page: 841 issue: 6 year: 2014 ident: 10.1016/j.ijpsycho.2023.08.001_bb0020 article-title: Inflammatory biomarker profiles of mental disorders and their relation to clinical, social and lifestyle factors publication-title: Soc. Psychiatry Psychiatr. Epidemiol. doi: 10.1007/s00127-014-0887-z – volume: 49 start-page: 94 year: 2015 ident: 10.1016/j.ijpsycho.2023.08.001_bb0060 article-title: Heart rate variability predicts levels of inflammatory markers: evidence for the vagal anti-inflammatory pathway publication-title: Brain Behav. Immun. doi: 10.1016/j.bbi.2014.12.017 – volume: 90 start-page: 1826 issue: 4 year: 1994 ident: 10.1016/j.ijpsycho.2023.08.001_bb0175 article-title: Power spectrum analysis of heart rate variability to assess the changes in sympathovagal balance during graded orthostatic tilt publication-title: Circulation doi: 10.1161/01.CIR.90.4.1826 – volume: 213 start-page: 220 issue: 4504 year: 1981 ident: 10.1016/j.ijpsycho.2023.08.001_bb0005 article-title: Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control publication-title: science doi: 10.1126/science.6166045 – volume: 235 start-page: 456 year: 2018 ident: 10.1016/j.ijpsycho.2023.08.001_bb0050 article-title: Heart rate variability alterations in late life depression: a meta-analysis publication-title: J. Affect. Disord. doi: 10.1016/j.jad.2018.04.071 – volume: 50 start-page: 477 issue: 5 year: 2013 ident: 10.1016/j.ijpsycho.2023.08.001_bb0210 article-title: The utility of low frequency heart rate variability as an index of sympathetic cardiac tone: a review with emphasis on a reanalysis of previous studies publication-title: Psychophysiology doi: 10.1111/psyp.12027 – start-page: 135 year: 2012 ident: 10.1016/j.ijpsycho.2023.08.001_bb0300 article-title: Inflammation and depression – volume: 67 start-page: 1067 issue: 11 year: 2010 ident: 10.1016/j.ijpsycho.2023.08.001_bb0115 article-title: Impact of depression and antidepressant treatment on heart rate variability: a review and meta-analysis publication-title: Biol. Psychiatry doi: 10.1016/j.biopsych.2009.12.012 – volume: 379 start-page: 20200255 issue: 2212 year: 2021 ident: 10.1016/j.ijpsycho.2023.08.001_bb0225 article-title: Heart rate variability and the dawn of complex physiological signal analysis: methodological and clinical perspectives publication-title: Phil. Trans. R. Soc. A doi: 10.1098/rsta.2020.0255 – volume: 24 start-page: 75 issue: 1 year: 1998 ident: 10.1016/j.ijpsycho.2023.08.001_bb0215 article-title: Narcissism, self-knowledge organization, and emotional reactivity: the effect of daily experiences on self-esteem and affect publication-title: Personal. Soc. Psychol. Bull. doi: 10.1177/0146167298241006 – year: 2022 ident: 10.1016/j.ijpsycho.2023.08.001_bb0070 article-title: The effect of auditory stimulation on the nonlinear dynamics of heart rate: the impact of emotional valence and arousal publication-title: bioRxiv – volume: 78 start-page: 14 issue: 1 year: 2019 ident: 10.1016/j.ijpsycho.2023.08.001_bb0250 article-title: Validity of commonly used heart rate variability markers of autonomic nervous system function publication-title: Neuropsychobiology doi: 10.1159/000495519 – volume: 50 start-page: 67 year: 2016 ident: 10.1016/j.ijpsycho.2023.08.001_bb0095 article-title: Atypical reactivity of heart rate variability to stress and depression across development: systematic review of the literature and directions for future research publication-title: Clin. Psychol. Rev. doi: 10.1016/j.cpr.2016.09.003 – volume: 156 start-page: 117 issue: 1–2 year: 2010 ident: 10.1016/j.ijpsycho.2023.08.001_bb0200 article-title: Heart rate variability and depressed mood in physical education students: a longitudinal study publication-title: Auton. Neurosci. doi: 10.1016/j.autneu.2010.03.019 – volume: 70 start-page: 328 issue: 3 year: 2008 ident: 10.1016/j.ijpsycho.2023.08.001_bb0035 article-title: Trait negative affect: toward an integrated model of understanding psychological risk for impairment in cardiac autonomic function publication-title: Psychosom. Med. doi: 10.1097/PSY.0b013e31816baefa – volume: 1202 year: 2020 ident: 10.1016/j.ijpsycho.2023.08.001_bb0185 article-title: The role of heart rate variability in the future of remote digital biomarkers publication-title: Front. Neurosci. – volume: 123 start-page: 94 year: 2017 ident: 10.1016/j.ijpsycho.2023.08.001_bb0295 article-title: Is the link between depressed mood and heart rate variability explained by disinhibited eating and diet? publication-title: Biol. Psychol. doi: 10.1016/j.biopsycho.2016.12.001 – year: 2007 ident: 10.1016/j.ijpsycho.2023.08.001_bb0110 – volume: 49 start-page: 1948 issue: 12 year: 2019 ident: 10.1016/j.ijpsycho.2023.08.001_bb0130 article-title: A meta-analysis of heart rate variability in major depression publication-title: Psychol. Med. doi: 10.1017/S0033291719001351 – volume: 54 start-page: 1063 issue: 6 year: 1988 ident: 10.1016/j.ijpsycho.2023.08.001_bb0265 article-title: Development and validation of brief measures of positive and negative affect: the PANAS scales publication-title: J. Pers. Soc. Psychol. doi: 10.1037/0022-3514.54.6.1063 – volume: 13 start-page: 1131 year: 2019 ident: 10.1016/j.ijpsycho.2023.08.001_bb0285 article-title: How do amusement, anger and fear influence heart rate and heart rate variability? publication-title: Front. Neurosci. doi: 10.3389/fnins.2019.01131 – volume: 49 start-page: 2061 issue: 6 year: 2017 ident: 10.1016/j.ijpsycho.2023.08.001_bb0080 article-title: A film set for the elicitation of emotion in research: a comprehensive catalog derived from four decades of investigation publication-title: Behav. Res. Methods doi: 10.3758/s13428-016-0842-x – volume: 46 start-page: 136 year: 2016 ident: 10.1016/j.ijpsycho.2023.08.001_bb0135 article-title: Depression and resting state heart rate variability in children and adolescents—a systematic review and meta-analysis publication-title: Clin. Psychol. Rev. doi: 10.1016/j.cpr.2016.04.013 – volume: 263 start-page: 754 year: 2020 ident: 10.1016/j.ijpsycho.2023.08.001_bb0195 article-title: Heart rate variability: can it serve as a marker of mental health resilience?: special section on “Translational and neuroscience studies in affective disorders” publication-title: J. Affect. Disord. doi: 10.1016/j.jad.2019.10.017 – volume: 39 start-page: 735 issue: 4 year: 2007 ident: 10.1016/j.ijpsycho.2023.08.001_bb0270 article-title: Heart rate variability as a predictor of negative mood symptoms induced by exercise withdrawal publication-title: Med. Sci. Sports Exerc. doi: 10.1249/mss.0b013e31802f590c – volume: 78 start-page: 573 issue: 5 year: 2016 ident: 10.1016/j.ijpsycho.2023.08.001_bb0245 article-title: Linking daily stress processes and laboratory-based heart rate variability in a national sample of midlife and older adults publication-title: Psychosom. Med. doi: 10.1097/PSY.0000000000000306 – volume: 41 start-page: 89 issue: 2 year: 2016 ident: 10.1016/j.ijpsycho.2023.08.001_bb0010 article-title: Autonomic nervous system dysfunction in psychiatric disorders and the impact of psychotropic medications: a systematic review and meta-analysis publication-title: J. Psychiatry Neurosci. doi: 10.1503/jpn.140217 – volume: 186 start-page: 119 year: 2015 ident: 10.1016/j.ijpsycho.2023.08.001_bb0040 article-title: The variable heart: high frequency and very low frequency correlates of depressive symptoms in children and adolescents publication-title: J. Affect. Disord. doi: 10.1016/j.jad.2015.06.057 – volume: 13 start-page: 985 issue: 1 year: 2020 ident: 10.1016/j.ijpsycho.2023.08.001_bb0100 article-title: A bayesian deep learning framework for end-to-end prediction of emotion from heartbeat publication-title: IEEE Trans. Affect. Comput. – volume: 5 start-page: 258 year: 2017 ident: 10.1016/j.ijpsycho.2023.08.001_bb0230 article-title: An overview of heart rate variability metrics and norms publication-title: Front. Public Health doi: 10.3389/fpubh.2017.00258 – volume: 14 start-page: 665 issue: 7 year: 2016 ident: 10.1016/j.ijpsycho.2023.08.001_bb0280 article-title: Stress, the autonomic nervous system, and the immune-kynurenine pathway in the etiology of depression publication-title: Curr. Neuropharmacol. doi: 10.2174/1570159X14666151208113006 – year: 2010 ident: 10.1016/j.ijpsycho.2023.08.001_bb0125 – volume: 86 start-page: 230 issue: 3 year: 2011 ident: 10.1016/j.ijpsycho.2023.08.001_bb0140 article-title: Autonomic nervous system reactivity to positive and negative mood induction: the role of acute psychological responses and frontal electrocortical activity publication-title: Biol. Psychol. doi: 10.1016/j.biopsycho.2010.12.003 – start-page: 3252 year: 2014 ident: 10.1016/j.ijpsycho.2023.08.001_bb0045 article-title: Non-linear HRV indices under autonomic nervous system blockade – start-page: 119 year: 1980 ident: 10.1016/j.ijpsycho.2023.08.001_bb0155 article-title: Technology in mental health care delivery systems – volume: 125 start-page: 19 issue: 1 year: 2018 ident: 10.1016/j.ijpsycho.2023.08.001_bb0255 article-title: Measures of sympathetic and parasympathetic autonomic outflow from heartbeat dynamics publication-title: J. Appl. Physiol. doi: 10.1152/japplphysiol.00842.2017 – volume: 133 start-page: 79 year: 2018 ident: 10.1016/j.ijpsycho.2023.08.001_bb0205 article-title: Poincaré plot indices as measures of sympathetic cardiac regulation: responses to psychological stress and associations with pre-ejection period publication-title: Int. J. Psychophysiol. doi: 10.1016/j.ijpsycho.2018.08.005 – volume: 258 start-page: H967 issue: 4 year: 1990 ident: 10.1016/j.ijpsycho.2023.08.001_bb0220 article-title: Analysis of short-term oscillations of RR and arterial pressure in conscious dogs publication-title: Am. J. Phys. Heart Circ. Phys. |
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